Gallup Indian Medical Center

In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

As one of the big emerging markets, China’s enormous population and rapid increase in consumer spending have attracted many multinational corporations (MNCs). Meanwhile, the misconception of China as a homogeneous market often leads to difficulties in assessing market demand and enacting effective strategies. Examines the diversity among Chinese consumers across seven regional markets. Data from a national survey suggest that consumers from various regions are significantly different from one another in terms of purchasing power, attitudes, lifestyles, media use, and consumption patterns. MNCs need to take a cautionary approach when expanding into the inland regions, and must adapt to the local market conditions and devise sustainable strategies.

How to integrate the emerging consumer segments in transitional economies into multinational corporations’ global marketing strategies presents a significant challenge. An analysis of China's urban consumers based on a 1997 national survey reveals several market segments that are distinctive in their demographics, psychographics, lifestyles, media usage, and consumption patterns. The findings suggest that multinational corporations need to adapt to the local market conditions in China and other transitional economies.

In this paper we propose anew family of fusion rules for the combination of uncertainty and conflicting information. This family of rules is based on new Proportional Conflict Redistributions (PCR) allowing us to deal with highly conflicting sources for static and dynamic fusion applications. Here five PCR rules (PCR1-PCR5) are presented, analyzed and compared through several numerical examples. From PCR1 up to PCR5 one increases in one hand the complexity of the rules, but in other hand one improves the exactitude of the redistribution of conflicting masses. The basic common principle of PCR rules is to redistribute the conflicting mass, after the conjunctive rule has been applied, proportionally with some functions depending on the masses assigned to their corresponding columns in the mass matrix. Alongside of these new five PCR rules, there are infinitely many ways these redistributions (through the choice of the set of weighting factors) can be chosen. PCR1 is equivalent to the weighted average operator (WAO) on Shafer's model only for static fusion problems but these two operators do not preserve the neutral impact of the vacuous belief assignment (VBA). The PCR2-PCR5 rules presented here, preserve the neutral impact of VBA and turn out to be what we consider as reasonable and can serve as alternatives to the hybrid DSm rule. PCR4 is an improvement of minC and Dempster's rules of combination and PCR5 is what we feel is the most exact PCR fusion rule developed up to now. The hybrid DSm rule manages the transfer of the belief committed to the conflict through a simple and direct way while the transfer used within PCR rules is more subtle and complex. The PCR rules can be used also and naturally as new efficient alternatives to the Dempster's rule and its other alternatives already proposed in the Dempster-Shafer theory (DST) over the last twenty years.

Guidelines for translating educational and psychological assessments for use across different languages and cultures have been developed by the International Test Commission and the Joint Committee on Standards for Educational and Psychological Testing. Common themes in these guidelines and standards are when translating items both judgmental and statistical techniques should be used to ensure item comparability across languages, and rigorous quality-control steps should be included in the translation process. In this study, the authors use differential item functioning methodology to evaluate the comparability of translated items at two different points in time—after the initial translation and 4 years later after the translations were revisited using a more rigorous translation model. The results indicated that the revised translations led to improvements in some but not all items. Improvements in the process of translating survey items, even when based on accepted professional standards, should be statistically evaluated. This methodology illustrates how evaluations can be conducted on translated survey items.

In this paper, we generalize the soft set to the hypersoft set by transforming the function F into a multi-attribute function. Then we introduce the hybrids of Crisp, Fuzzy, Intuitionistic Fuzzy, Neutrosophic, and Plithogenic Hypersoft Set.

It is often claimed that only experiments can support strong causal inferences and therefore they should be privileged in the behavioral sciences. We disagree. Overvaluing experiments results in their overuse both by researchers and decision makers and in an underappreciation of their shortcomings. Neglect of other methods often follows. Experiments can suggest whether X causes Y in a specific experimental setting; however, they often fail to elucidate either the mechanisms responsible for an effect or the strength of an effect in everyday natural settings. In this article, we consider two overarching issues. First, experiments have important limitations. We highlight problems with external, construct, statistical-conclusion, and internal validity; replicability; and conceptual issues associated with simple X causes Y thinking. Second, quasi-experimental and nonexperimental methods are absolutely essential. As well as themselves estimating causal effects, these other methods can provide information and understanding that goes beyond that provided by experiments. A research program progresses best when experiments are not treated as privileged but instead are combined with these other methods.

The single valued neutrosophic graph is a new version of graph theory presented recently as a generalization of fuzzy graph and intuitionistic fuzzy graph. The single valued neutrosophic graph (SVN-graph) is used when the relation between nodes (or vertices) in problems are indeterminate. In this paper, we examine the properties of various types of degrees, order and size of single valued neutrosophic graphs and a new definition for regular single valued neutrosophic graph is given.

The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis of positive and negative life outcomes and psychological function. These results suggest that the global signal contains a rich source of information related to trait-level cognition and behavior. This work has significant implications for the contentious debate over artifact removal practices in neuroimaging.

BACKGROUND: Happiness and health behavior are positively related, but most existing research does not distinguish between conceptually and empirically distinct components of subjective well-being-satisfaction with life, positive affect, and negative affect. METHOD: We assessed the associations of each component of subjective well-being and health behavior, such as exercising and not smoking, in a broad, representative sample of nearly 2.5 million respondents from the USA in the Gallup Daily Poll. RESULTS: We found that both life satisfaction and positive affect, but not negative affect, are unique predictors of health behavior, even after controlling for a wide range of variables, including demographics, chronic illness, daily stress and pain, and other relevant factors. Positive affect was linearly related to health behavior, while life satisfaction showed an association only for individuals relatively satisfied with their lives (but not for those dissatisfied with their lives). These associations were not moderated by various factors, occurring across gender and age, personal resources like time and money, and environmental affordances such as access to fresh food and safe places to exercise. CONCLUSIONS: The relationship between well-being and health behavior is robust and generalisable in a large cross-section of the US population.

This paper presents a new approach for combining sources of evidences with different importances and reliabilities. Usually, the combination of sources of evidences with different reliabilities is done by the classical Shafer's discounting approach. Therefore, to consider unequal importances of sources, if any, a similar reliability discounting process is generally used, making no difference between the notion of importance and reliability. In fact, in multicriteria decision context, these notions should be clearly distinguished. This paper shows how this can be done and we provide simple examples to show the differences between both solutions for managing importances and reliabilities of sources. We also discuss the possibility for mixing them in a global fusion process.

Journal Article Human Needs and Satisfactions: A Global Survey Get access George H. Gallup George H. Gallup George H. Gallup is Chairman of the Gallup Poll and Chairman of the Gallup Organization. Search for other works by this author on: Oxford Academic Google Scholar Public Opinion Quarterly, Volume 40, Issue 4, Winter 1976, Pages 459–467, https://doi.org/10.1086/268332 Published: 01 January 1976

OBJECTIVE: To estimate the prevalence and incidence of diabetes, clinical characteristics, and risk factors for chronic complications among Navajo youth, using data collected by the SEARCH for Diabetes in Youth Study (SEARCH study). RESEARCH DESIGN AND METHODS: The SEARCH study identified all prevalent cases of diabetes in 2001 and all incident cases in 2002-2005 among Navajo youth. We estimated denominators with the user population for eligible health care facilities. Youth with diabetes also attended a research visit that included questionnaires, physical examination, blood and urine collection, and extended medical record abstraction. RESULTS: Diabetes is infrequent among Navajo youth aged <10 years. However, both prevalence and incidence of diabetes are high in older youth. Among adolescents aged 15-19 years, 1 in 359 Navajo youth had diabetes in 2001 and 1 in 2,542 developed diabetes annually. The vast majority of diabetes among Navajo youth with diabetes is type 2, although type 1 diabetes is also present, especially among younger children. Navajo youth with either diabetes type were likely to have poor glycemic control, high prevalence of unhealthy behaviors, and evidence of severely depressed mood. Youth with type 2 diabetes had more metabolic factors associated with obesity and insulin resistance (abdominal fat deposition, dyslipidemia, and higher albumin-to-creatinine ratio) than youth with type 1 diabetes. CONCLUSIONS: Our data provide evidence that diabetes is an important health problem for Navajo youth. Targeted efforts aimed at primary prevention of diabetes in Navajo youth and efforts to prevent or delay the development of chronic complications among those with diabetes are warranted.

In this study, we presented concept of neutrosophic cubic set by extending the concept of cubic set to neutrosophic set. We also defined internal neutrosophic cubic set (INCS) and external neutrosophic cubic set (ENCS). Then, we proposed some new type of INCS and ENCS is called 13-INCS (or 23-ENCS) , 23-INCS (or 13-ENCS). Then we study some of their relevant properties. Finally, we introduce an adjustable approach to NCS based decision making by similarity measure and an illustrative example is employed to show that they can be successfully applied to problems that contain uncertainties.

The Global Flourishing Study is a longitudinal panel study of over 200,000 participants in 22 geographically and culturally diverse countries, spanning all six populated continents, with nationally representative sampling and intended annual survey data collection for 5 years to assess numerous aspects of flourishing and its possible determinants. The study is intended to expand our knowledge of the distribution and determinants of flourishing around the world. Relations between a composite flourishing index and numerous demographic characteristics are reported. Participants were also surveyed about their childhood experiences, which were analyzed to determine their associations with subsequent adult flourishing. Analyses are presented both across and within countries, and discussion is given as to how the demographic and childhood relationships vary by country and which patterns appear to be universal versus culturally specific. Brief comment is also given on the results of a whole series of papers in the Global Flourishing Study Special Collection, employing similar analyses, but with more-specific aspects of well-being. The Global Flourishing Study expands our knowledge of the distribution and determinants of well-being and provides foundational knowledge for the promotion of societal flourishing.

k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-parametric supervised classifier. It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set. The k-nearest neighbors are determined based on some distance functions. Although k-NN produces successful results, there have been some extensions for improving its precision. The neutrosophic set (NS) defines three memberships namely T, I and F. T, I, and F shows the truth membership degree, the false membership degree, and the indeterminacy membership degree, respectively. In this paper, the NS memberships are adopted to improve the classification performance of the k-NN classifier. A new straightforward k-NN approach is proposed based on NS theory. It calculates the NS memberships based on a supervised neutrosophic c-means (NCM) algorithm. A final belonging membership U is calculated from the NS triples as U = T + I − F . A similar final voting scheme as given in fuzzy k-NN is considered for class label determination. Extensive experiments are conducted to evaluate the proposed method’s performance. To this end, several toy and real-world datasets are used. We further compare the proposed method with k-NN, fuzzy k-NN, and two weighted k-NN schemes. The results are encouraging and the improvement is obvious.

We reviewed the medical records of 27 patients with plague seen at the Gallup (NM) Indian Medical Center between 1965 and 1989. Nineteen patients had bubonic plague and eight had septicemic plague. Three patients with septicemic plague and three with bubonic plague died. The patients presented with five different clinical pictures. Ten patients presented with classic signs of plague, five with the appearance of an upper respiratory tract infection, five with a nonspecific febrile syndrome, four with the appearance of a gastrointestinal or urinary tract infection, and three with the appearance of meningitis. Blood cultures were positive in 24 of 25 cases, and bubo aspirate cultures were positive in 10 of 13 cases. All six patients who died were under 30 years old, and all the deaths were related to a failure to treat initially with an antibiotic appropriate for plague. Plague is a treatable disease, but clinicians must have a high index of suspicion and give appropriate antibiotics at the earliest possible time to patients whose presentation suggests plague.

Abstract Telephone surveys have been a ubiquitous method of collecting survey data, but the environment for telephone surveys is changing. Many surveys are transitioning from telephone to self-administration or combinations of modes for both recruitment and survey administration. Survey organizations are conducting these transitions from telephone to mixed modes with only limited guidance from existing empirical literature and best practices. This article summarizes findings by an AAPOR Task Force on how these transitions have occurred for surveys and research organizations in general. We find that transitions from a telephone to a self-administered or mixed-mode survey are motivated by a desire to control costs, to maintain or improve data quality, or both. The most common mode to recruit respondents when transitioning is mail, but recent mixed-mode studies use only web or mail and web together as survey administration modes. Although early studies found that telephone response rates met or exceeded response rates to the self-administered or mixed modes, after about 2013, response rates to the self-administered or mixed modes tended to exceed those for the telephone mode, largely because of a decline in the telephone mode response rates. Transitioning offers opportunities related to improved frame coverage and geographic targeting, delivery of incentives, visual design of an instrument, and cost savings, but challenges exist related to selecting a respondent within a household, length of a questionnaire, differences across modes in use of computerization to facilitate skip patterns and other questionnaire design features, and lack of an interviewer for respondent motivation and clarification. Other challenges related to surveying youth, conducting surveys in multiple languages, collecting nonsurvey data such as biomeasures or consent to link to administrative data, and estimation with multiple modes are also prominent.

This article describes some solutions to common problems in pre-election surveys drawing upon Gallup Poll experience. It touches upon problems in sampling, estimation, response validity, the undecided, measuring likelihood to vote, and measuring late trends in voter preference. In conclusion it cites demonstrable gains in accuracy that have followed application of the solutions described.Paul Perry is Vice Chairman, The Gallup Organization, Inc.

In this paper, globally existing low-carbon tourism strategies (LCTSs) are recognized and then ranked over fourteen different indicators relevant to SEE analysis (social (S), economic (E), and environmental (E) aspects) of sustainability. A comprehensive framework is proposed in which decision experts (DEs) are capable to assess linguistic values to give their decisions and contribute in the decision-making needs to rank the SEE aspects that affect the sustainable perspective of LCTSs. This paper therefore proposes an integrated decision-making framework considering the various conflicting indicators and SEE aspects of sustainability. In addition, treating of uncertainty and inconsistency for data, we consider a neutrosophic setting with the use of single-valued neutrosophic numbers (SVNNs). First, the MEREC (Method based on the removal effects of criteria) weighting procedure is applied to recognize the relative significance of the SEE aspects and their indicators. Second, the generalized Dombi operators are proposed and their elegant properties are discussed to obtain aggregated information of SVNNs. Third, MULTIMOORA method is used to prioritize alternatives. A case study considering six LCTSs is taken to approve the practicality of the introduced methodology, and comparison discussion is made to illustrate the benefits of the developed methodology. Sensitivity investigation is done to evidence the rationality and permanence of the proposed methodology with variations in indicators&#x2019; weights. The outcomes of the study offer valuable facts for low-carbon tourism experts and the outcomes of the case study specify that the LCTS-I is the optimum sustainable LCTSs with overall assessment degree of 0.208 after that LCTS-II with utility degree of 0.172.